Medication Knowledge Graph Analysis Using the PageRank Algorithm

S. M.Shamimul Hasan; Alina Peluso; Heidi A. Hanson; Anuj J. Kapadia

doi:10.1109/ICHI57859.2023.00082

Medication Knowledge Graph Analysis Using the PageRank Algorithm

S. M.Shamimul Hasan, Alina Peluso, Heidi A. Hanson, Anuj J. Kapadia

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Electronic health records (EHRs) data from the US Department of Veterans Affairs (VA) show that many veterans have been treated with the Selective Serotonin Reuptake Inhibitors (SSRIs) class of antidepressant medications. It is crucial to study medications in association with other important clinical concepts to make better medication prescribing decisions and conduct better analyses of medication side effects and comorbidity. In this paper, we used PubMed's knowledge graph and PageRank algorithm to identify important concepts related to three medications that belong to the SSRI class. Our preliminary research shows that the PageRank-based publication knowledge graph analysis approach is capable of extracting interesting clinical concepts related to antidepressant medications and has the potential to improve clinical decision-making.

Original language	English
Title of host publication	Proceedings - 2023 IEEE 11th International Conference on Healthcare Informatics, ICHI 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	495-497
Number of pages	3
ISBN (Electronic)	9798350302639
DOIs	https://doi.org/10.1109/ICHI57859.2023.00082
State	Published - 2023
Event	11th IEEE International Conference on Healthcare Informatics, ICHI 2023 - Houston, United States Duration: Jun 26 2023 → Jun 29 2023

Publication series

Name	Proceedings - 2023 IEEE 11th International Conference on Healthcare Informatics, ICHI 2023

Conference

Conference	11th IEEE International Conference on Healthcare Informatics, ICHI 2023
Country/Territory	United States
City	Houston
Period	06/26/23 → 06/29/23

Funding

This work is sponsored by the US Department of Veterans Affairs. This manuscript has been authored by UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the US Department of Energy (DOE). The US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan).

Keywords

Knowledge Graph
PageRank
PubMed

Access to Document

10.1109/ICHI57859.2023.00082

Cite this

Hasan, S. M. S., Peluso, A., Hanson, H. A., & Kapadia, A. J. (2023). Medication Knowledge Graph Analysis Using the PageRank Algorithm. In Proceedings - 2023 IEEE 11th International Conference on Healthcare Informatics, ICHI 2023 (pp. 495-497). (Proceedings - 2023 IEEE 11th International Conference on Healthcare Informatics, ICHI 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICHI57859.2023.00082

Hasan, S. M.Shamimul ; Peluso, Alina ; Hanson, Heidi A. et al. / Medication Knowledge Graph Analysis Using the PageRank Algorithm. Proceedings - 2023 IEEE 11th International Conference on Healthcare Informatics, ICHI 2023. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 495-497 (Proceedings - 2023 IEEE 11th International Conference on Healthcare Informatics, ICHI 2023).

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title = "Medication Knowledge Graph Analysis Using the PageRank Algorithm",

abstract = "Electronic health records (EHRs) data from the US Department of Veterans Affairs (VA) show that many veterans have been treated with the Selective Serotonin Reuptake Inhibitors (SSRIs) class of antidepressant medications. It is crucial to study medications in association with other important clinical concepts to make better medication prescribing decisions and conduct better analyses of medication side effects and comorbidity. In this paper, we used PubMed's knowledge graph and PageRank algorithm to identify important concepts related to three medications that belong to the SSRI class. Our preliminary research shows that the PageRank-based publication knowledge graph analysis approach is capable of extracting interesting clinical concepts related to antidepressant medications and has the potential to improve clinical decision-making.",

keywords = "Knowledge Graph, PageRank, PubMed",

author = "Hasan, {S. M.Shamimul} and Alina Peluso and Hanson, {Heidi A.} and Kapadia, {Anuj J.}",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 11th IEEE International Conference on Healthcare Informatics, ICHI 2023 ; Conference date: 26-06-2023 Through 29-06-2023",

year = "2023",

doi = "10.1109/ICHI57859.2023.00082",

language = "English",

series = "Proceedings - 2023 IEEE 11th International Conference on Healthcare Informatics, ICHI 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Hasan, SMS, Peluso, A, Hanson, HA & Kapadia, AJ 2023, Medication Knowledge Graph Analysis Using the PageRank Algorithm. in Proceedings - 2023 IEEE 11th International Conference on Healthcare Informatics, ICHI 2023. Proceedings - 2023 IEEE 11th International Conference on Healthcare Informatics, ICHI 2023, Institute of Electrical and Electronics Engineers Inc., pp. 495-497, 11th IEEE International Conference on Healthcare Informatics, ICHI 2023, Houston, United States, 06/26/23. https://doi.org/10.1109/ICHI57859.2023.00082

Medication Knowledge Graph Analysis Using the PageRank Algorithm. / Hasan, S. M.Shamimul; Peluso, Alina; Hanson, Heidi A. et al.
Proceedings - 2023 IEEE 11th International Conference on Healthcare Informatics, ICHI 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 495-497 (Proceedings - 2023 IEEE 11th International Conference on Healthcare Informatics, ICHI 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Medication Knowledge Graph Analysis Using the PageRank Algorithm

AU - Hasan, S. M.Shamimul

AU - Peluso, Alina

AU - Hanson, Heidi A.

AU - Kapadia, Anuj J.

PY - 2023

Y1 - 2023

N2 - Electronic health records (EHRs) data from the US Department of Veterans Affairs (VA) show that many veterans have been treated with the Selective Serotonin Reuptake Inhibitors (SSRIs) class of antidepressant medications. It is crucial to study medications in association with other important clinical concepts to make better medication prescribing decisions and conduct better analyses of medication side effects and comorbidity. In this paper, we used PubMed's knowledge graph and PageRank algorithm to identify important concepts related to three medications that belong to the SSRI class. Our preliminary research shows that the PageRank-based publication knowledge graph analysis approach is capable of extracting interesting clinical concepts related to antidepressant medications and has the potential to improve clinical decision-making.

AB - Electronic health records (EHRs) data from the US Department of Veterans Affairs (VA) show that many veterans have been treated with the Selective Serotonin Reuptake Inhibitors (SSRIs) class of antidepressant medications. It is crucial to study medications in association with other important clinical concepts to make better medication prescribing decisions and conduct better analyses of medication side effects and comorbidity. In this paper, we used PubMed's knowledge graph and PageRank algorithm to identify important concepts related to three medications that belong to the SSRI class. Our preliminary research shows that the PageRank-based publication knowledge graph analysis approach is capable of extracting interesting clinical concepts related to antidepressant medications and has the potential to improve clinical decision-making.

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KW - PageRank

KW - PubMed

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M3 - Conference contribution

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T3 - Proceedings - 2023 IEEE 11th International Conference on Healthcare Informatics, ICHI 2023

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BT - Proceedings - 2023 IEEE 11th International Conference on Healthcare Informatics, ICHI 2023

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Hasan SMS, Peluso A, Hanson HA, Kapadia AJ. Medication Knowledge Graph Analysis Using the PageRank Algorithm. In Proceedings - 2023 IEEE 11th International Conference on Healthcare Informatics, ICHI 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 495-497. (Proceedings - 2023 IEEE 11th International Conference on Healthcare Informatics, ICHI 2023). doi: 10.1109/ICHI57859.2023.00082

Medication Knowledge Graph Analysis Using the PageRank Algorithm

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